Telefonaktiebolaget Lm Ericsson (publ)

Juniper Networks, Inc.

Hillstone Networks Corp.

Yu Jia

Dongyi Jiang

Philipp Frank

Chin Lam Eng

Tian Chen

Haiyu Wang

Ye Zhang

Chee Wai Ng

Qijun Yang

Juxi Li

Linyang Shu

Jiangbo Nie

ZhenYing Li

Lichao Gui

A method includes extracting, from first log data relating to operations of wireless devices and/or nodes in the communication network, textual elements and numerical elements; transforming the textual elements to a first vector space to determine respective textual element vectors; transforming the numerical elements to a second vector space to determine respective numerical element vectors; embedding and clustering the textual element vectors and the numerical element vectors to determine clusters of embedded vectors, wherein the embedding includes, for a plurality of wireless device sessions, embedding at least one textual element vector and at least one numerical element vector into a single embedded vector representing the particular wireless device session; and training a classifier model to determine a network status from second log data, wherein the classifier model is trained using the plurality of clusters of embedded vectors.

Classifier model for determining a network status of a communication network from log data

A method for processing network data traffic includes obtaining a first distributed structure corresponding to a program based on a first storage structure, wherein the program is configured to process network data traffic; dividing a network device based on a second storage structure into a plurality of execution units, wherein the plurality of execution units is configured to execute the program; mapping the first distributed structure and the plurality of execution units to obtain a second distributed structure; and controlling the plurality of execution units to process network data traffic based on the second distributed structure.

Method and device for processing network data traffic based on distributed structure

A software patch is generated by determining the binary differences between a more secure version of the embedded system firmware and the currently operating, vulnerable version. The differences are extracted and analyzed to determine their basis in the source code for the more secure version. Source code that affects the binary differences may be compiled into a binary file and linked, off-line, with the binary executable file that contains the machine code for the currently operating version of the embedded system firmware, producing a security patch. The security patch may be installed on the embedded system at run-time, and it is then executed to modify the currently operating firmware to redirect firmware operation from vulnerable procedures toward the new, secure procedures contained in the software patch.

Creating hot patches for embedded systems

Growing community of inventors

Beijing, China

Yu Jia